Rohini Balakrishnan

This paper uses deep learning to identify individual field crickets from their calls, achieving high accuracy in both same-night and cross-night tests.

This paper reviews acoustic monitoring techniques for tropical insect conservation, highlighting challenges and opportunities for using insect sounds to assess biodiversity and ecosystem health.

The paper develops interpretable machine learning methods to classify land use from soundscape data, improving accuracy by filtering non-informative audio and identifying key acoustic elements.

The paper uses a spatially explicit model to show spatial structure enables coexistence of alternative reproductive tactics in tree crickets by equalizing mating benefits.

The paper uses simulation models and empirical tests to evaluate mate sampling strategies in field crickets, finding that passive attraction to louder callers is optimal.